Overview

Dataset statistics

Number of variables5
Number of observations224
Missing cells62
Missing cells (%)5.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.9 KiB
Average record size in memory40.6 B

Variable types

Categorical2
Text3

Dataset

Description제주특별자치도 제주시 소재 식품관련업 - 식품소분업 현황 데이터입니다.
Author제주특별자치도 제주시
URLhttps://www.data.go.kr/data/15056165/fileData.do

Alerts

업종명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전화번호 has 61 (27.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 03:19:34.417898
Analysis finished2023-12-12 03:19:34.963150
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
식품소분업
224 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row식품소분업
2nd row식품소분업
3rd row식품소분업
4th row식품소분업
5th row식품소분업

Common Values

ValueCountFrequency (%)
식품소분업 224
100.0%

Length

2023-12-12T12:19:35.070434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:19:35.196278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품소분업 224
100.0%

업소명
Text

Distinct223
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T12:19:35.549747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15.5
Mean length6.5714286
Min length2

Characters and Unicode

Total characters1472
Distinct characters254
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique222 ?
Unique (%)99.1%

Sample

1st row한라산식품
2nd row제주함덕양봉작목반
3rd row제주자연식품
4th row오성
5th row수협바다마트제주점
ValueCountFrequency (%)
주식회사 3
 
1.3%
동양월마트 2
 
0.9%
주)제키스 1
 
0.4%
주)시디푸드 1
 
0.4%
주식회사제스코마트 1
 
0.4%
일광식품 1
 
0.4%
농업회사법인주식회사우도황금땅콩 1
 
0.4%
탐나마트주공점 1
 
0.4%
성하식품 1
 
0.4%
영어조합법인올레바당 1
 
0.4%
Other values (216) 216
94.3%
2023-12-12T12:19:36.138092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 93
 
6.3%
마 81
 
5.5%
트 80
 
5.4%
제 58
 
3.9%
식 42
 
2.9%
) 35
 
2.4%
( 34
 
2.3%
사 34
 
2.3%
점 29
 
2.0%
회 29
 
2.0%
Other values (244) 957
65.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1391
94.5%
Close Punctuation 35
 
2.4%
Open Punctuation 34
 
2.3%
Decimal Number 7
 
0.5%
Space Separator 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 93
 
6.7%
마 81
 
5.8%
트 80
 
5.8%
제 58
 
4.2%
식 42
 
3.0%
사 34
 
2.4%
점 29
 
2.1%
회 29
 
2.1%
이 26
 
1.9%
품 26
 
1.9%
Other values (237) 893
64.2%
Decimal Number
ValueCountFrequency (%)
2 3
42.9%
5 2
28.6%
3 1
 
14.3%
6 1
 
14.3%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1391
94.5%
Common 81
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 93
 
6.7%
마 81
 
5.8%
트 80
 
5.8%
제 58
 
4.2%
식 42
 
3.0%
사 34
 
2.4%
점 29
 
2.1%
회 29
 
2.1%
이 26
 
1.9%
품 26
 
1.9%
Other values (237) 893
64.2%
Common
ValueCountFrequency (%)
) 35
43.2%
( 34
42.0%
5
 
6.2%
2 3
 
3.7%
5 2
 
2.5%
3 1
 
1.2%
6 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1391
94.5%
ASCII 81
 
5.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 93
 
6.7%
마 81
 
5.8%
트 80
 
5.8%
제 58
 
4.2%
식 42
 
3.0%
사 34
 
2.4%
점 29
 
2.1%
회 29
 
2.1%
이 26
 
1.9%
품 26
 
1.9%
Other values (237) 893
64.2%
ASCII
ValueCountFrequency (%)
) 35
43.2%
( 34
42.0%
5
 
6.2%
2 3
 
3.7%
5 2
 
2.5%
3 1
 
1.2%
6 1
 
1.2%

소재지
Text

Distinct218
Distinct (%)97.8%
Missing1
Missing (%)0.4%
Memory size1.9 KiB
2023-12-12T12:19:36.731277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length21.103139
Min length17

Characters and Unicode

Total characters4706
Distinct characters135
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique215 ?
Unique (%)96.4%

Sample

1st row제주특별자치도 제주시 조천읍 일주동로 661
2nd row제주특별자치도 제주시 조천읍 함덕남4길 27-4
3rd row제주특별자치도 제주시 조천읍 남조로1길 18
4th row제주특별자치도 제주시 용마로2길 28
5th row제주특별자치도 제주시 삼무로 84
ValueCountFrequency (%)
제주특별자치도 223
23.5%
제주시 223
23.5%
조천읍 21
 
2.2%
한림읍 13
 
1.4%
애월읍 11
 
1.2%
구좌읍 8
 
0.8%
10 7
 
0.7%
1 6
 
0.6%
일주동로 5
 
0.5%
41 5
 
0.5%
Other values (312) 426
44.9%
2023-12-12T12:19:37.548672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
851
18.1%
주 457
 
9.7%
제 448
 
9.5%
도 234
 
5.0%
특 223
 
4.7%
별 223
 
4.7%
자 223
 
4.7%
치 223
 
4.7%
시 223
 
4.7%
로 160
 
3.4%
Other values (125) 1441
30.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3186
67.7%
Space Separator 851
 
18.1%
Decimal Number 642
 
13.6%
Dash Punctuation 27
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 457
14.3%
제 448
14.1%
도 234
 
7.3%
특 223
 
7.0%
별 223
 
7.0%
자 223
 
7.0%
치 223
 
7.0%
시 223
 
7.0%
로 160
 
5.0%
길 115
 
3.6%
Other values (113) 657
20.6%
Decimal Number
ValueCountFrequency (%)
1 153
23.8%
2 105
16.4%
3 77
12.0%
4 57
 
8.9%
6 54
 
8.4%
5 49
 
7.6%
0 48
 
7.5%
7 41
 
6.4%
8 31
 
4.8%
9 27
 
4.2%
Space Separator
ValueCountFrequency (%)
851
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3186
67.7%
Common 1520
32.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 457
14.3%
제 448
14.1%
도 234
 
7.3%
특 223
 
7.0%
별 223
 
7.0%
자 223
 
7.0%
치 223
 
7.0%
시 223
 
7.0%
로 160
 
5.0%
길 115
 
3.6%
Other values (113) 657
20.6%
Common
ValueCountFrequency (%)
851
56.0%
1 153
 
10.1%
2 105
 
6.9%
3 77
 
5.1%
4 57
 
3.8%
6 54
 
3.6%
5 49
 
3.2%
0 48
 
3.2%
7 41
 
2.7%
8 31
 
2.0%
Other values (2) 54
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3186
67.7%
ASCII 1520
32.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
851
56.0%
1 153
 
10.1%
2 105
 
6.9%
3 77
 
5.1%
4 57
 
3.8%
6 54
 
3.6%
5 49
 
3.2%
0 48
 
3.2%
7 41
 
2.7%
8 31
 
2.0%
Other values (2) 54
 
3.6%
Hangul
ValueCountFrequency (%)
주 457
14.3%
제 448
14.1%
도 234
 
7.3%
특 223
 
7.0%
별 223
 
7.0%
자 223
 
7.0%
치 223
 
7.0%
시 223
 
7.0%
로 160
 
5.0%
길 115
 
3.6%
Other values (113) 657
20.6%

전화번호
Text

MISSING 

Distinct156
Distinct (%)95.7%
Missing61
Missing (%)27.2%
Memory size1.9 KiB
2023-12-12T12:19:37.858613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.01227
Min length12

Characters and Unicode

Total characters1958
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique151 ?
Unique (%)92.6%

Sample

1st row064-742-2676
2nd row064-783-9066
3rd row064-782-0011
4th row064-746-4885
5th row064-743-2989
ValueCountFrequency (%)
064-729-1551 4
 
2.5%
064-723-9982 2
 
1.2%
064-782-2350 2
 
1.2%
064-747-9080 2
 
1.2%
064-752-1078 2
 
1.2%
064-726-6900 1
 
0.6%
064-742-3210 1
 
0.6%
064-742-2676 1
 
0.6%
064-721-4601 1
 
0.6%
064-772-8989 1
 
0.6%
Other values (146) 146
89.6%
2023-12-12T12:19:38.293057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 326
16.6%
0 294
15.0%
4 261
13.3%
6 231
11.8%
7 215
11.0%
2 145
7.4%
5 109
 
5.6%
8 103
 
5.3%
1 101
 
5.2%
9 87
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1632
83.4%
Dash Punctuation 326
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 294
18.0%
4 261
16.0%
6 231
14.2%
7 215
13.2%
2 145
8.9%
5 109
 
6.7%
8 103
 
6.3%
1 101
 
6.2%
9 87
 
5.3%
3 86
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 326
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1958
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 326
16.6%
0 294
15.0%
4 261
13.3%
6 231
11.8%
7 215
11.0%
2 145
7.4%
5 109
 
5.6%
8 103
 
5.3%
1 101
 
5.2%
9 87
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1958
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 326
16.6%
0 294
15.0%
4 261
13.3%
6 231
11.8%
7 215
11.0%
2 145
7.4%
5 109
 
5.6%
8 103
 
5.3%
1 101
 
5.2%
9 87
 
4.4%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2021-02-26
224 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-02-26
2nd row2021-02-26
3rd row2021-02-26
4th row2021-02-26
5th row2021-02-26

Common Values

ValueCountFrequency (%)
2021-02-26 224
100.0%

Length

2023-12-12T12:19:38.472450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:19:38.586608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-02-26 224
100.0%

Missing values

2023-12-12T12:19:34.690896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:19:34.804614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-12T12:19:34.901060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

업종명업소명소재지전화번호데이터기준일자
0식품소분업한라산식품제주특별자치도 제주시 조천읍 일주동로 661064-742-26762021-02-26
1식품소분업제주함덕양봉작목반제주특별자치도 제주시 조천읍 함덕남4길 27-4064-783-90662021-02-26
2식품소분업제주자연식품제주특별자치도 제주시 조천읍 남조로1길 18064-782-00112021-02-26
3식품소분업오성제주특별자치도 제주시 용마로2길 28064-746-48852021-02-26
4식품소분업수협바다마트제주점제주특별자치도 제주시 삼무로 84064-743-29892021-02-26
5식품소분업봉성제주특별자치도 제주시 한천로 65064-753-36852021-02-26
6식품소분업세인농수산식품제주특별자치도 제주시 한림읍 귀덕6길 137064-796-22942021-02-26
7식품소분업온누리식품제주특별자치도 제주시 오라로 58064-755-37342021-02-26
8식품소분업에덴양봉원제주특별자치도 제주시 아란서길 91064-753-61812021-02-26
9식품소분업한국물류내제주특별자치도 제주시 남녕로 11064-747-90802021-02-26
업종명업소명소재지전화번호데이터기준일자
214식품소분업제주냉동제빙제주특별자치도 제주시 임항로 55-8064-752-89962021-02-26
215식품소분업와인과치즈제주특별자치도 제주시 신대로10길 36064-712-88532021-02-26
216식품소분업제이팜코리아제주특별자치도 제주시 한림읍 한림상로 230<NA>2021-02-26
217식품소분업(주)메이드인제주제주특별자치도 제주시 조천읍 중산간동로 804-16064-758-04042021-02-26
218식품소분업제주인황제건어물제주특별자치도 제주시 한림읍 귀덕3길 35<NA>2021-02-26
219식품소분업화인마트제주특별자치도 제주시 광양6길 2<NA>2021-02-26
220식품소분업코심유통제주특별자치도 제주시 신광로 88<NA>2021-02-26
221식품소분업(주)제이비프레시제주특별자치도 제주시 조천읍 남조로 2510064-783-32242021-02-26
222식품소분업로컬상회제주특별자치도 제주시 동광로23길 27<NA>2021-02-26
223식품소분업에이라이브제주특별자치도 제주시 성지로 52<NA>2021-02-26